Autors: Gancheva, V. S., Georgiev, I.
Title: Multithreaded Parallel Sequence Alignment Based on Needleman-Wunsch Algorithm
Keywords: Biological sequence alignment, Computational challenges, Hig

Abstract: Biocomputing and molecular biology are areas that change knowledge and skills for acquisition, storing, management, analysis, interpretation and dissemination of biological information. This requires the utilization of high performance computers and innovative software tools for management of the vast information, as well as deployment of innovative algorithmic techniques for analysis, interpretation and prognostication of data in order to get to insight of the design and validation of life-science experiments. Sequence alignment is an important method in DNA and protein analysis. The paper describes the computational challenges in biological sequence processing. The great challenges are to propose parallel computational models and parallel program implementations based on the algorithms for biological sequence alignment. An investigation of the efficiency of sequence alignment based on parallel multithreaded program implementation of Needleman-Wunsch algorithm is presented.

References

    Issue

    Proceedings IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019, vol. BIBE 2019, pp. 165-169, 2019, Greece, IEEE Inc, DOI 10.1109/BIBE.2019.00037

    Copyright IEEE

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    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus